This short practical chapter will get us acquainted with the `bool()` function. You may recall that numbers can be converted to the boolean data type too: `1` means `True`,  and `0` means `False`.

> Note
>
> We can put whatever we want into the `bool()` function, and **everything except** `0` in different types (`0`, `0.0`), and `None` will lead to `True`.

import unittest


class ExpectedType:
    def __init__(self, expected_type, name):
        self.expected_type = expected_type
        self.name = name


class TestUserCode(unittest.TestCase):
    def _test_variable_equals(self, var_name, expected, expected_type=None):
        import user_code
        if not hasattr(user_code, var_name):
            return (False, f"Expected '{var_name}' variable to be defined.")
        var = getattr(user_code, var_name)

        if (expected_type is not None) and (not isinstance(var, expected_type.expected_type)):
            return (False, f"Expected '{var_name}' to be of type '{expected_type.name}', but got '{type(var).__name__}'.")

        if var != expected:
            return (False, f"Expected '{var_name}' to equal '{expected}', but got '{var}'.")
        return (True, f'The variable {var_name} equals "{expected}"')

    def test_statement1(self):
        passed, result_text = self._test_variable_equals(
            'statement1', True, expected_type=ExpectedType(bool, 'bool'))
        self._testMethodName = result_text
        self.assertTrue(passed, result_text)

    def test_statement2(self):
        passed, result_text = self._test_variable_equals(
            'statement2', True, expected_type=ExpectedType(bool, 'bool'))
        self._testMethodName = result_text
        self.assertTrue(passed, result_text)

    def test_statement3(self):
        passed, result_text = self._test_variable_equals(
            'statement3', False, expected_type=ExpectedType(bool, 'bool'))
        self._testMethodName = result_text
        self.assertTrue(passed, result_text)


if __name__ == '__main__':
    unittest.main()


test_main.py

This course is going to help you dive deeper into data types and try to work with them. Here you will learn basic operations and all ins and outs of numbers, boolean data type, and strings. This course consists of a lot of practical tasks after which you will become a skillful programmer.

Numeric data types are crucial in Python, so it is important to start with them. Here you will work with simple math operations and find out the purposes of learning different types of numerical data.

Mastering boolean data types and logical operations in Python. You'll learn how to work with True and False, apply logical operators like and, or, and not, and understand how operator precedence works in complex expressions.

Strings are an essential part of Python programming, allowing you to work with text data. In this section, you'll learn how to manipulate strings, extract characters, slice words, and search for specific phrases.

This chapter consists of practical tasks that combine all the examined topics together with a bit of theory.

Data Types in Python

Converting: bool()

Løsning

Converting: bool()

Løsning